scholarly journals Conduit Mentality and the Economy: The Nigerian Experience

2020 ◽  
pp. 1-13
Author(s):  
S. Samuel, Ogunbiyi ◽  
G. Tunde, Monogbe
Keyword(s):  
Regression Analysis ◽  
Research Design ◽  
Educational Level ◽  
Standard Of Living ◽  
Independent Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
The Relationship

The study is about conduit mentality and the Nigerian economy. Conduit mentality was proxied by annual values of aggregate illicit funds, then the economy was proxied by Educational level (EDU), Standard of living and Health in Nigeria over the period of 1996 to 2018. The research design is expost facto, for our analysis, we used the Autoregressive Distributed Lag Method of regression Analysis. Our result showed that, as expected, the relationship that exists between the dependent and independent variables are negative. We discovered that corruption as proxied by illicit funds is a serious issue in Nigeria and must be tackled if we intend to develop our economy as desired.

Impact of Environmental Tax on Comparative Advantage of Food and Food Products: A Study of G20 Countries in Light of Environmentally Sensitive Goods

2021 ◽  
pp. 001946622110352
Author(s):  
Alisha Mahajan ◽  
Kakali Majumdar
Keyword(s):  
Comparative Advantage ◽  
Food Products ◽  
Environmental Taxes ◽  
Environmental Tax ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Environmentally Sensitive ◽  
The Relationship

Many countries are under constant fear that environmental policies might negatively influence the international competitiveness of polluting industries. In this study, we aim to evaluate the relationship and impact of the environmental tax on comparative advantage of trade in food and food products industry, considered to be one of the highly environmentally sensitive industries. This study also investigates, whether this relationship differs among countries covered in G20, with the help of correlation analysis. We select panel autoregressive distributed lag approach for this study as it can analyse long-run as well as short-run association even when the variables are stationary at different orders of integration. Using panel data from G20 countries over the period of 21 years that is from 1994 to 2015, it is concluded that when we allow environmental taxes to interact with the revealed comparative advantage (RCA) of G20 nations, the overall impact of the environmental tax on the RCA is negative in the long period. It is therefore suggested that countries should follow Porter hypothesis to stimulate innovations resulting from strict environmental regulations that affect the environment in least possible manner. JEL Codes: C01, C23, C33, F18, O57, Q5

scholarly journals The link between urbanization and air pollution in Turkey: Evidence from dynamic Autoregressive Distributed Lag simulations

2021 ◽  
Author(s):  
Alper Aslan ◽  
BUKET ALTINOZ ◽  
BAKİ OZSOLAK
Keyword(s):  
Air Pollution ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Sustainable Growth ◽  
Similar Relationship ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Positive Shock ◽  
The Relationship

Abstract This study investigates the relationship between urbanization and air pollution in Turkey. Dynamic ARDL method was used for the period 1960–2014. According to the findings, there is a positive and statistically significant relationship between long-term urbanization and Co2. If urbanization increased by 1%, carbon emissions increased by 0.02%. There is a similar relationship between the shocks that will occur in population growth and Co2 emission in the long term. However, there is a negative and statistically insignificant relationship between the two variables. In the relationship between GDP and Co2, there is a positive relationship in the long term. GDP increase of 1% increases Co2 emissions by 0.11%. There is a similar relationship between long-term GDP shocks and Co2 emissions. According to short-term analysis results, energy consumption increases Co2 emissions by the same rate as GDP. However, the astonishing result of the study emerges here. Empirical results show that a long-term positive shock in energy consumption reduces CO2 emissions and a negative shock increases pollution. According to these results, Turkey has not reached the point of sustainable growth. For this reason, this developing country needs to make regulatory implementations and determine future policies for these impacts affecting air pollution.

scholarly journals Relationship Between Enablers and Barriers to Financial Inclusion—the Case of North Macedonia

2021 ◽  
Vol 8 (1) ◽  
pp. 52
Author(s):  
Natasha Eftimovska
Keyword(s):  
Regression Analysis ◽  
Institutional Arrangements ◽  
Financial Inclusion ◽  
Primary Data ◽  
Second Primary ◽  
Main Research ◽  
Independent Variables ◽  
Enabling Environment ◽  
Income Groups ◽  
The Relationship

This research aims to examine the relationship between factors that act as enablers or barriers to financial inclusion, as independent variables, and the environment for financial inclusion, as a dependent variable, for the case of North Macedonia. For accomplishing the main research objective, first, the factors that act as enablers or barriers to financial inclusion were identified by collecting primary data using questionnaires and performing comparative analysis on our country’s position with different regions categorized by income groups and World, through the benchmarking model of Global Microscope (Economist Intelligence Unit, 2018. Global Microscope 2018. The Enabling Environment for Financial Inclusion. The EIU, The Economist). Second, primary data from questionnaires served to furtherly examine the correlation between each identified enabler or barrier to financial inclusion and the overall environment for financial inclusion through multiple regression analysis. Results revealed important information and recommendations for the future focus of national priorities, institutional arrangements, policies, and strategies in terms of creating enabling environment for financial inclusion, benefits of which can be felt by the overall society.

scholarly journals Customer Satisfaction in Retail Banking Services in Nepal

2019 ◽  
Vol 12 (1) ◽  
pp. 45-58
Author(s):  
Phul Prasad Subedi
Keyword(s):  
Regression Analysis ◽  
Customer Satisfaction ◽  
Financial Institutions ◽  
Commercial Banks ◽  
Retail Banking ◽  
Descriptive Statistics ◽  
Banking Services ◽  
Factors Affecting ◽  
Independent Variables ◽  
The Relationship

This research mainly focuses on analysing the factors affecting customer satisfaction in retail banking in Nepal. The study adopts descriptive and explorative research design to deal with the fundamental issues associated with various factors of customers’ satisfaction and retail banking. The study is based on questionnaire survey of 200 customers of 10 different “A” class financial institutions, i.e. commercial banks. Descriptive statistics, correlation coefficient and regression analysis have been applied to estimate the relationship between customer satisfaction as dependent variable and service quality variables as independent variables. The empirical evidences indicate that reliability, responsiveness, assurance and tangibles factors have positive and significant impact on customer satisfaction. It reveals that higher the level of responsiveness, reliability, assurance and tangibility higher would be the customer satisfaction.

ANALISIS PENGARUH FIRM SIZE DAN PROFITABILITAS TERHADAP ISLAMIC SOCIAL REPORTING (ISR) DENGAN EARNING GROWTH SEBAGAI VARIABEL MODERATING PADA JAKARTA ISLAMIC INDEX (JII)

1970 ◽  
Vol 18 (1) ◽  
pp. 137-150
Author(s):  
Titin Hartini
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Firm Size ◽  
Sampling Technique ◽  
Social Reporting ◽  
Analysis Method ◽  
Earning Growth ◽  
Independent Variables ◽  
Dependent Variables ◽  
The Relationship

This study aims to determine and analyze the effect of Firm Size and Profitability on Islamic Social Reporting, and see whether Earning Growth can strengthen or weaken the relationship between independent variables to the dependent variable. This research takes object in companies registered in Jakarta Islamic Index (JII) for period 2011-2015, amounted to 30 companies and obtained by 12 companies by using purposive sampling technique. Data analysis method used is multiple regression analysis. Based on the results of simultaneous research all the variables berpegaruh against Islamic Social Reporting, but partially, only Firm Size that affect the Islamic Social Reporting. In addition, Earning Growth can not strengthen or weaken the relationship between independent variables and dependent variables.

scholarly journals The relationship between renewable energy and sustainable development in Indonesia

2021 ◽  
Vol 922 (1) ◽  
pp. 012034
Author(s):  
G Syamni ◽  
Wardhiah ◽  
Zulkifli ◽  
M J A Siregar ◽  
Y A Sitepu
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Secondary Data ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short And Long Term ◽  
The Relationship ◽  
Positive Effect

Abstract This paper is conducted to examine the relationship between the use of renewable energy and FDI in Indonesia. The data used in this study is secondary data that has been published by the World Bank and accessed in www.Data.worldbank.org. periode 2004-2019. The data analysis method used is the autoregressive distributed lag (ARDL) method. The results of the study found that the use of renewable energy in the short and long term has a positive effect on Indonesia’s economic growth. Meanwhile, the same thing is also shown from the FDI variable in the short term and long term which has a significant positive effect on economic growth and has a positive effect on economic growth. Finally, with this finding, it is concluded that both the short and long term the Indonesian government needs to make a breakthrough to explore renewable energy sources for economic growth.

scholarly journals PENGARUH PAJAK, SUBSIDI DAN ZIS TERHADAP PENURUNAN KEMISKINAN DI INDONESIA

Media Ekonomi ◽  
2013 ◽  
Vol 22 (2) ◽  
pp. 123
Author(s):  
Hikmathiar Ramadhan ◽  
Tatik Mariyanti
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Regression Method ◽  
The State ◽  
Independent Variables ◽  
Multiple Regression Method ◽  
The Relationship

<p>This paper discusses the analysis of the effect of taxes and subsidies and ZIS (Zsakat, Infaq and Sedekah) to the reduction of poverty in Indonesia in the period 1994 to 2013. The variables used in include taxes, subsidies, ZIS and poverty of the State of Indonesia. The method used in this thesis is a multiple regression method along with the classical assumptions. This study aims to determine the relationship between variables taxes, subsidies and ZIS against poverty. In addition, this study also aims to look at the variables which play a role in reducing poverty. The results using multiple regression analysis, it appears that all the independent variables are not significant and have adjusted R-square is nice. Next to the classical assumption test, based on the results of research there is a violation of classical assumptions in this research is the Normality.</p>

scholarly journals The Effect of Phase on Paper Thickness Optimization in the Paper Recycling Process Using Recycling Machine

2020 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Fauzhia Rahmasari
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Multiple Linear Regression Model ◽  
Thickness Optimization ◽  
Recycling Process ◽  
Paper Recycling ◽  
Independent Variables ◽  
The Relationship

AbstractEfforts to manage the recycling of paper waste into new paper have been carried out in recent times. It takes a tool or machine that is able to effectively and efficiently recycle used paper into new paper. There are several factors that affect the effectiveness of paper recycling machines, one of which is the paper thickness. One method that can be used to analyze the factors that influence paper thickness in the paper production process using a paper recycling machine is regression analysis. Regression analysis is data analysis techniques in statistics that is used to examine the relationship between several independent variables and dependent variable. However, if we want to examine the relationship or effect of two or more independent variables on a dependent variable, the regression model used is a multiple linear regression model. This study purposes are to analyze the factors that influence paper thickness using a paper recycling machine using multiple linear regression and to inform the modeling about that. The results showed that the factors that affect the paper thickness optimization are destruction and press phase. AbstractUpaya pengelolaan daur ulang sampah kertas menjadi kertas baru telah banyak dilakukan pada jaman sekarang. Dibutuhkan suatu alat atau mesin yang mampu secara efektif dan efisien dalam mendaur ulang kertas bekas menjadi kertas baru. Terdapat beberapa faktor yang mempengaruhi tingkat efektifitas mesin daur ulang kertas diantaranya adalah ketebalan kertas. Salah satu metode yang dapat digunakan untuk menganalisis faktor-faktor yang mempengaruhi ketebalan kertas pada proses produksi kertas menggunakan mesin daur ulang kertas adalah analisis regresi. Analisis regresi merupakan teknik analisis data dalam statistika yang digunakan untuk mengkaji hubungan antara beberapa variabel bebas dengan variabel tidak bebas. Namun, jika ingin mengkaji hubungan atau pengaruh dua atau lebih variabel bebas terhadap satu variabel tidak bebas, maka model regresi yang digunakan adalah model regresi linier berganda. Tujuan dalam penelitian ini yaitu menganalisis faktor-faktor yang mempengaruhi ketebalan kertas menggunakan mesin daur ulang kertas menggunakan regresi linier berganda serta memberikan informasi pemodelan mengenai hal tersebut. Hasil penelitian menunjukkan bahwa faktor yang mempengaruhi keoptimalan ketebalan kertas adalah fase penghancuran dan pemadatan kertas

scholarly journals The Effect of Higher Education on Growth: A Cointegration Analysis

2013 ◽  
Author(s):  
Murat Mustafa Kutlutürk ◽  
Hakan Kasım Akmaz ◽  
Ahmet Çetin
Keyword(s):  
Higher Education ◽  
Granger Causality ◽  
Cointegration Analysis ◽  
Annual Data ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

In this study the relationship between higher education and economic growth was investigated using annual data between 1988 and 2012 for Turkey. To see short and long run effects of higher education on growth the Autoregressive Distributed Lag (ARDL) testing approach was used. In this investigation ratio of higher education graduates in employment was used as an explanatory variable. Zivot and Andrews test was implemented for the variables. The long and short run effects of higher education on growth was found significant. Granger causality test was implemented and one way Granger causality from higher education to growth was determined.

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